Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
Spinal metastasis, or the spread of cancer to the spine, is a frequent complication of advanced cancer. Surgery may be an option for patients with a favorable prognosis, while palliative care may be ...
YouTube offers free and flexible access to artificial intelligence educationStructured video content helps learners understand both basic and adv ...
News-Medical.Net on MSN
New prognostic model improves survival prediction for spinal metastasis patients
Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
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